AI in Healthcare Faculty positions at Harvard Medical School

[Lilen Uchima]

The Department of Biomedical Informatics (DBMI) at Harvard Medical School is seeking to fill a tenure-track Assistant and Associate Professor position at the multidisciplinary intersection of artificial intelligence (AI)/machine learning (ML) and clinical decision making. Qualified candidates would be joining a growing department with several leaders in clinical AI, bioinformatics, and population health. DBMI faculty lead or participate in multiple multidisciplinary research and teaching efforts such as the Artificial Intelligence in Medicine (AIM) and Bioinformatics and Integrative Genomics (BIG) tracks of the Biomedical Informatics PhD program, the Division of Health Sciences and Technology of Harvard and MIT, the Data Science Initiative of Harvard University, and the Harvard Kempner Institute for the Study of Natural and Artificial Intelligence.

Basic Qualifications

For interdisciplinary AI/ML: Applicants should possess a Ph.D. degree in computer science, biomedical informatics, or comparably quantitative disciplines. Applicants must have demonstrated expertise and impact at the intersection of AI/ML and biomedicine, with ability to make major contributions in both AI/ML methodology and applications in biomedicine.

Additional Qualifications

Research areas of special interest include:
AI in healthcare; human in the loop or knowledge-enhanced AI; deep learning; natural language processing; question-answering/conversational AI; brain-inspired computing; semantic/cognitive/perceptual computing; study of health in their natural living environments; AI and Big data – including social, sensor, biological, and health self-reports – and scalable computing/analysis of big and real-world data; AI and computer vision. The use of AI to accelerate biomedical discovery (e.g. drug discovery, real-time epidemiology, clinical trial design) is another area of departmental interest.

Review of applications will begin November 30, 2023 and continue until this position is filled. Expected start date is Summer 2024.

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Associate Professor AI/ML focus

Assistant Professor AI/ML focus